Results 31 to 40 of about 32,189,684 (346)

Structure Formation of Bio-Elements

open access: yesAdvances in Bioengineering and Biomedical Science Research, 2022
We study a Nano-Structural 4-forces of New Atomic Model, a lithography of biological elements on the basis of Super Unified Theorem SU(11)⊃SU(6)×SU(5)×U(1) or SU(11)⊃SU(6)×SU(3)×SU(2)×U(1). The existences of up-converting quantum masses or positions or dots of colloidal lithographies from exotic matter fluid to ordinary matter through colloidal stages,
openaire   +3 more sources

Primordial Fluctuations From Quantum Gravity

open access: yesFrontiers in Astronomy and Space Sciences, 2021
We study the fluctuations and the correlations between spatial regions generated in the primordial quantum gravitational era of the universe. We point out that these can be computed using the Lorentzian dynamics defined by the Loop Quantum Gravity ...
Francesco Gozzini, Francesca Vidotto
doaj   +1 more source

Modification of portland cement with nanoadditives [PDF]

open access: yesНанотехнологии в строительстве, 2022
: Introduction. Portland cement slurries (suspensions) used for well cementing have high water-cement ratios (0.45–0.6). They also contain a minimum amount of inert fillers, must have zero water separation and controlled hardening with a minimum time
Farit A. Agzamov   +1 more
doaj   +1 more source

Cosmic structure formation [PDF]

open access: yesPhysica D: Nonlinear Phenomena, 1994
This article reviews the prevailing paradigm for how galaxies and larger structures formed in the universe: gravitational instability. Basic observational facts are summarized to motivate the standard cosmological framework underlying most detailed investigations of structure formation.
openaire   +2 more sources

Density perturbations for running vacuum: a successful approach to structure formation and to the σ8-tension [PDF]

open access: yes, 2018
Recent studies suggest that dynamical dark energy (DDE) provides a better fit to the rising affluence of modern cosmological observations than the concordance model ($\Lambda$CDM) with a rigid cosmological constant, $\Lambda$.
Adrià Gómez-Valent, J. Peracaula
semanticscholar   +1 more source

Controlling the structural formation of porized cement composites in the production of thermally efficient enclosure structures of enhanced quality [PDF]

open access: yesНанотехнологии в строительстве, 2023
ABSTACT: Introduction. Research to improve the quality of foam concrete products through targeted control of technological processes of structure formation of cement-based compositions is relevant.
Aleksei B. Steshenko   +3 more
doaj   +1 more source

Constrained coalition formation

open access: yes, 2011
The conventional model of coalition formation considers every possible subset of agents as a potential coalition. However, in many real-world applications, there are inherent constraints on feasible coalitions: for instance, certain agents may be ...
Michalak, T   +13 more
core   +2 more sources

Cosmic confusion and structure formation [PDF]

open access: yesPhysical Review D, 1996
We present a re-analysis of the cosmic confusion hypothesis, elucidating the degree to which ``confusion'' can be expected to hold in a class of flat, adiabatic models. This allows us to devise a simple and accurate fitting function for the height of the first peak in the radiation power spectrum in a wide range of inflationary inspired models.
openaire   +3 more sources

Unveiling carbon ring structure formation mechanisms in polyacrylonitrile-derived carbon fibers.

open access: yesACS Applied Materials and Interfaces, 2019
As the demand for electric vehicles (EVs) and autonomous vehicles (AVs) rapidly grows, lower-cost, lighter, and stronger carbon fibers (CFs) are urgently needed to respond to consumers' call for greater EV traveling range and stronger safety structures ...
Jia-Deng Zhu   +14 more
semanticscholar   +1 more source

Machine learning cosmological structure formation [PDF]

open access: yesMonthly notices of the Royal Astronomical Society, 2018
We train a machine learning algorithm to learn cosmological structure formation from N-body simulations.
L. Lucie-Smith   +3 more
semanticscholar   +1 more source

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